Psychiatry

Transformative Effects of Mindfulness Meditation Training on the Dynamic Reconfiguration of Executive and Default Mode Networks in Internet Gaming Disorder.

BACKGROUND: Internet gaming disorder (IGD) is a pervasive global mental health issue, and finding effective treatments for the disorder has been challenging. Mindfulness meditation (MM), recognized for its holistic approach that involves integrating mental and physical facets, holds promise for addressing the multifaceted nature of addiction. Nevertheless, the effect of MM on IGD and its associate...

Artificial intelligence impacts in education and pediatric mental health.

PURPOSE OF REVIEW: Increased accessibility of artificial intelligence to children has raised concerns regarding its effects on education and student mental health. Pediatricians should continue to be informed about the effects of artificial intelligence in their patients' daily lives, as artificial intelligence is becoming increasingly present.

AI Chatbots for Psychological Health for Health Professionals: Scoping Review.

BACKGROUND: Health professionals face significant psychological burdens including burnout, anxiety, and depression. These can negatively impact their ...

Protocol for socioecological study of autism, suicide risk, and mental health care: Integrating machine learning and community consultation for suicide prevention.

INTRODUCTION: Autistic people experience higher risk of suicidal ideation (SI) and suicide attempts (SA) compared to non-autistic people, yet there is...

A randomized controlled trial of the effects of dog-assisted versus robot dog-assisted therapy for children with autism or Down syndrome.

Research with controlled or crossover designs in animal-assisted therapy have largely used control groups receiving no treatment or treatment as usual...

Machine learned text topics improve drop-out risk prediction but not symptom prediction in online psychotherapies for depression and anxiety.

Objective: Internet-delivered cognitive behavior therapies (iCBT) are effective and scalable treatments for depression and anxiety. However, treatment...

Utilizing machine learning algorithms for predicting Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpatients (ADCS-GI).

BACKGROUND: Accurately diagnosing Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpatients (ADCS-GI) shows significant challenges as tra...

Using machine learning to predict depression among middle-aged and elderly population in China and conducting empirical analysis.

OBJECTIVE: To develop a predictive model for evaluating depression among middle-aged and elderly individuals in China.

Predicting treatment response to cognitive behavior therapy in social anxiety disorder on the basis of demographics, psychiatric history, and scales: A machine learning approach.

Only about half of patients with social anxiety disorder (SAD) respond substantially to cognitive behavioral therapy (CBT). However, there has been li...

Continuous real-time detection and management of comprehensive mental states using wireless soft multifunctional bioelectronics.

Quantitatively measuring human mental states that profoundly affect cognition, behavior, and recovery would revolutionize personalized digital healthc...

Utilizing machine learning to identify fall predictors in India's aging population: findings from the LASI.

BACKGROUND: Depression has a detrimental effect on an individual's mental and musculoskeletal strength multiplying the risk of fall incidents. The cur...

Artificial intelligence-based risk assessment tools for sexual, reproductive and mental health: a systematic review.

BACKGROUND: Artificial intelligence (AI), which emulates human intelligence through knowledge-based heuristics, has transformative impacts across vari...

Heterogeneous Graph Representation Learning Framework for Resting-State Functional Connectivity Analysis.

Brain functional connectivity analysis is important for understanding brain development and brain disorders. Recent studies have suggested that the va...

The impact of AI-driven sentiment analysis on patient outcomes in psychiatric care: A narrative review.

This article addresses the pressing question of how advanced analytical tools, specifically artificial intelligence (AI)-driven sentiment analysis, ca...

Optimized attention-enhanced U-Net for autism detection and region localization in MRI.

Autism spectrum disorder (ASD) is a neurodevelopmental condition that affects a child's cognitive and social skills, often diagnosed only after sympto...

A comprehensive review of neurotransmitter modulation via artificial intelligence: A new frontier in personalized neurobiochemistry.

The deployment of artificial intelligence (AI) is revolutionizing neuropharmacology and drug development, allowing the modulation of neurotransmitter ...

Semi-Automated Multi-Label Classification of Autistic Mannerisms by Machine Learning on Post Hoc Skeletal Tracking.

Mannerisms describe repetitive or unconventional body movements like arm flapping. These movements are early markers of restricted and repetitive beha...

Exploring the significance of the frontal lobe for diagnosis of schizophrenia using explainable artificial intelligence and group level analysis.

Schizophrenia (SZ) is a complex mental disorder characterized by a profound disruption in cognition and emotion, often resulting in a distorted percep...

AI-based personalized real-time risk prediction for behavioral management in psychiatric wards using multimodal data.

BACKGROUND: Suicide is a major global health issue, with approximately 700,000 deaths annually (WHO). In psychiatric wards, managing harmful behaviors...

Portable and Self-Powered Sensing AI-Enabled Mask for Emotional Recognition in Virtual Reality.

With the increasing development of metaverse and human-computer interaction (HMI) technologies, artificial intelligence (AI) applications in virtual r...